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Paper Citation Record · LEDGER

Scalable and Trustworthy Earth Observation Foundation Models

As of 21 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.07758.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.07758 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T18:58:32.854964Z

measured 61 of 61 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation df8ceff6-72a1-4d74-8370-dd956f7ee4bb · outbound

This paper cites 2021 , eprint =.

Scalable and Trustworthy Earth Observation Foundation Models 2021 , eprint =

Reference 1

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This paper cites 2024 , eprint =.

Scalable and Trustworthy Earth Observation Foundation Models 2024 , eprint =

Reference 2

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Observation 377fb50e-378b-4333-b467-ea13e228a532 · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine , year =.

Scalable and Trustworthy Earth Observation Foundation Models IEEE Geoscience and Remote Sensing Magazine , year =

Reference 3

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Observation 18b7b381-f709-48c0-a92b-a9295202de11 · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine , volume =.

Scalable and Trustworthy Earth Observation Foundation Models IEEE Geoscience and Remote Sensing Magazine , volume =

Reference 4

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Observation 94a04663-a405-4aa4-ab6a-36ef473f0231 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

Scalable and Trustworthy Earth Observation Foundation Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 5

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Observation 08b34c8f-79b3-4b23-86d7-c26e77bb2c74 · outbound

This paper cites SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.

Scalable and Trustworthy Earth Observation Foundation Models SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Reference 6

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Observation 79fe6299-5eed-44c2-b461-6318ed6c850f · outbound

This paper cites Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.

Scalable and Trustworthy Earth Observation Foundation Models Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning

Reference 7

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Observation 33197b65-5938-4b57-a1a4-cf7a2fbe2a7d · outbound

This paper cites CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders.

Scalable and Trustworthy Earth Observation Foundation Models CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders

Reference 8

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This paper cites 2024 , doi =.

Scalable and Trustworthy Earth Observation Foundation Models 2024 , doi =

Reference 9

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Scalable and Trustworthy Earth Observation Foundation Models 2024 , doi =

Reference 10

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This paper cites 2024 , eprint =.

Scalable and Trustworthy Earth Observation Foundation Models 2024 , eprint =

Reference 11

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Observation cb6e8533-e8fc-4c03-bc6e-e39429068727 · outbound

This paper cites AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.

Scalable and Trustworthy Earth Observation Foundation Models AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities

Reference 12

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Observation c435cbc7-97bd-40fb-badf-1518c09d6004 · outbound

This paper cites Towards a Unified Copernicus Foundation Model for Earth Vision.

Scalable and Trustworthy Earth Observation Foundation Models Towards a Unified Copernicus Foundation Model for Earth Vision

Reference 13

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Observation 64d14fd3-9d0c-453c-bb86-6ad3184e82cf · outbound

This paper cites Prithvi-eo-2.0: A versatile multi-temporal foundation model for earth observation applications.

Scalable and Trustworthy Earth Observation Foundation Models Prithvi-eo-2.0: A versatile multi-temporal foundation model for earth observation applications

Reference 14

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Observation 3ba439c8-4362-43af-9cd0-3a95d984e0dc · outbound

This paper cites Galileo: Learning Global & Local Features of Many Remote Sensing Modalities.

Scalable and Trustworthy Earth Observation Foundation Models Galileo: Learning Global & Local Features of Many Remote Sensing Modalities

Reference 15

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local_arxiv, observed 2026-07-10T19:07:35.338612Z

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Observation 5b816d57-9e38-47aa-a5f9-041d48229831 · outbound

This paper cites TerraMind: Large-Scale Generative Multimodality for Earth Observation.

Scalable and Trustworthy Earth Observation Foundation Models TerraMind: Large-Scale Generative Multimodality for Earth Observation

Reference 16

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Observation 9c676a0b-7d2e-4884-9d09-815914f08980 · outbound

This paper cites SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing.

Scalable and Trustworthy Earth Observation Foundation Models SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing

Reference 17

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Observation c329574a-f70a-4ee9-baa0-eaec4debbca2 · outbound

This paper cites AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data.

Scalable and Trustworthy Earth Observation Foundation Models AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Reference 18

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Observation 6b89785e-4445-4223-bdcc-22278f76ded0 · outbound

This paper cites VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding.

Scalable and Trustworthy Earth Observation Foundation Models VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Reference 19

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Observation c098593d-1423-4237-b579-1c7a0d0713b2 · outbound

This paper cites RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing.

Scalable and Trustworthy Earth Observation Foundation Models RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Reference 20

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Observation 37fd93a7-59cc-475e-b843-b66340da418f · outbound

This paper cites EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain.

Scalable and Trustworthy Earth Observation Foundation Models EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain

Reference 21

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Observation 27a3a62e-56da-4ee3-8ca9-97f136dae72a · outbound

This paper cites DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation.

Scalable and Trustworthy Earth Observation Foundation Models DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation

Reference 22

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Observation 3a5bb998-7238-496e-8c46-d5b7c553368f · outbound

This paper cites PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models.

Scalable and Trustworthy Earth Observation Foundation Models PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models

Reference 23

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Observation ed5e6db4-564f-4746-be7c-3262bbdd9946 · outbound

This paper cites Geo- bench-2: From performance to capability, rethinking evaluation in geospatial ai.

Scalable and Trustworthy Earth Observation Foundation Models Geo- bench-2: From performance to capability, rethinking evaluation in geospatial ai

Reference 24

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Observation ab08fe86-3350-473b-bda0-8f3a0b876943 · outbound

This paper cites MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training.

Scalable and Trustworthy Earth Observation Foundation Models MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training

Reference 25

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Scalable and Trustworthy Earth Observation Foundation Models 2026 , eprint =

Reference 26

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Observation 3fb0e53e-1b97-483f-a064-fcda6ea87f84 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Scalable and Trustworthy Earth Observation Foundation Models Parameter-Efficient Transfer Learning for NLP

Reference 27

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Observation ccb74a97-496a-4ba5-9913-d05c79019fc0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Scalable and Trustworthy Earth Observation Foundation Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 28

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This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

Scalable and Trustworthy Earth Observation Foundation Models Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 29

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Scalable and Trustworthy Earth Observation Foundation Models IEEE Geoscience and Remote Sensing Magazine , year =

Reference 30

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Scalable and Trustworthy Earth Observation Foundation Models 2016 , eprint =

Reference 31

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Scalable and Trustworthy Earth Observation Foundation Models 2017 , eprint =

Reference 32

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Observation f02c2576-b415-47d2-9944-a3803e4da3b3 · outbound

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Scalable and Trustworthy Earth Observation Foundation Models 2024 , eprint =

Reference 33

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Observation fdf464a3-48b6-4468-9aad-91bfd25faefb · outbound

This paper cites Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentation.

Scalable and Trustworthy Earth Observation Foundation Models Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentation

Reference 34

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local_arxiv, observed 2026-07-10T19:07:35.295622Z

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Observation 5e5c12bf-ad54-4709-bdd6-9e7755fbf019 · outbound

This paper cites SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models.

Scalable and Trustworthy Earth Observation Foundation Models SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models

Reference 35

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local_arxiv, observed 2026-07-10T19:07:35.303515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:adc339a24ff7a384a2efb55cf6d5725e42f4d337a6c4bc83426aaf2fde97d56c

Observation 08cf7da3-46c2-4e47-bc3c-392b7d48804f · outbound

This paper cites PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning.

Scalable and Trustworthy Earth Observation Foundation Models PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.293263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:d11fb434548ec8e7f9cf7a657e24792df8b2bda821e37c08c1142e7c0b8d8c09

Observation bf1de280-e9c5-4693-97ab-6b5b06fe514f · outbound

This paper cites 2025 , eprint =.

Scalable and Trustworthy Earth Observation Foundation Models 2025 , eprint =

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.091878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:710df7ff30da59a0f9f6987d37158984b3b4f934c96dc790268f98c661964a81

Observation be9f8783-8ea4-4b50-a4c8-56abac5ec711 · outbound

This paper cites Bulletin of the American Meteorological Society , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Bulletin of the American Meteorological Society , volume =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.082281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:ab860937ab65dc1c118c74c942c61bb5758a898d47f4fd2ea766b2dce46bbc11

Observation 5b349ff3-2d6b-42ce-83bb-173db43d4097 · outbound

This paper cites Remote Sensing of Environment , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Remote Sensing of Environment , volume =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.083954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:130da614474007814ced445e08e4915a223a6c9e57b3915184b6e20004cb65fd

Observation 27b996f7-44e9-421d-90b4-d8045bc262f3 · outbound

This paper cites Science of the Total Environment , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Science of the Total Environment , volume =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.102183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:6002399d11b746a4676c4199af2b58922a488ef7b0d6d598f562f1ca6540b255

Observation 36f1bf33-7591-4ca2-91d0-57a33cb00a09 · outbound

This paper cites Harmful Algae , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Harmful Algae , volume =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.086648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:0f01382b5aad56d310d30a9de7ef90660b05279da39d25a3fe6601a612ad5d3a

Observation 0c5e89fd-8d5b-4fcc-be8f-cd2ee7af5d08 · outbound

This paper cites IEEE Transactions on Information Theory , volume =.

Scalable and Trustworthy Earth Observation Foundation Models IEEE Transactions on Information Theory , volume =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.111974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:2c60cdcf442268c233833fb878ea16864b95b769422a70b66df1fe058a1361ee

Observation f0720c9e-ef31-47bb-b92c-9aec3b2bf662 · outbound

This paper cites 2014 , eprint =.

Scalable and Trustworthy Earth Observation Foundation Models 2014 , eprint =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.105637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:ed1844b79e4fa6973885277a8a72efd4ce9c290f8544cf53256b15fe11aa4a52

Observation 9ee021c2-a234-450e-8e42-7e5dc49b2693 · outbound

This paper cites Nature , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Nature , volume =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.100446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:fb6fcdacd08f2d121d85a9d0f8c21d9c4c218161aed0ddaac45269782c8c368d

Observation f2c949c0-8c86-4fa1-850d-ac055bc972b8 · outbound

This paper cites Deep Reinforcement Learning with Double Q-learning.

Scalable and Trustworthy Earth Observation Foundation Models Deep Reinforcement Learning with Double Q-learning

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:07:35.305775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:0a364f8e83fec0b91b5781d40fe644fe31b3b480a54a50bb9ad5a9de317ed969

Observation 2566dfb7-5333-4713-8ddd-9f36acc3b12d · outbound

This paper cites and Zhu, Xiao Xiang , journal =.

Scalable and Trustworthy Earth Observation Foundation Models and Zhu, Xiao Xiang , journal =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.105136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:057aef1cdc58f87fe3399b7272635c37bbff282628104023e49533eaca503da7

Observation 470990ec-78d8-49fa-971a-a961299cc22a · outbound

This paper cites SSL4EO-L: Datasets and Foundation Models for Landsat Imagery.

Scalable and Trustworthy Earth Observation Foundation Models SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.308017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:ce8daf468a465cc89c13a94573b8eaab6613d4ea70a9ecd0728c9473d0f91999

Observation 1b7ccbc1-a389-4dec-91f0-856f38e165e0 · outbound

This paper cites MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning.

Scalable and Trustworthy Earth Observation Foundation Models MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.290376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:1810c832e48e01ff191340d5766ca5d21c3be65ee6ae25c2f03ff5cd01cb5e04

Observation 73b3e4d1-bf22-4d8d-b12b-acd2c50d2434 · outbound

This paper cites Major TOM: Expandable Datasets for Earth Observation.

Scalable and Trustworthy Earth Observation Foundation Models Major TOM: Expandable Datasets for Earth Observation

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.287991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:a09e2a5823bd192fb068e48665646ad5de37ed9814628e31bd60625cde1f53fe

Observation 31bd1978-f815-42ec-a180-4e6eda8f117c · outbound

This paper cites 2025 , eprint =.

Scalable and Trustworthy Earth Observation Foundation Models 2025 , eprint =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.110186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:366618cd709c97567e02886a884073f02accf8555381f6b13ffe1d60e2dc2d41

Observation dfa8c220-f77a-4c13-93ca-0233ec1ec229 · outbound

This paper cites FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring.

Scalable and Trustworthy Earth Observation Foundation Models FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:07:35.310429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:3412ce3c0bc4fcd2a54e25cf6f215d891819d442d00b542972095774f74a576c

Observation 7cd9386f-7b2f-41c9-8265-facd47d18cd4 · outbound

This paper cites ExEBench: Benchmarking Foundation Models on Extreme Earth Events.

Scalable and Trustworthy Earth Observation Foundation Models ExEBench: Benchmarking Foundation Models on Extreme Earth Events

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.283258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:57437c8e26ee9fa036fa3e014f3584345dcf64162beb0ad58c91ba471d0d3b87

Observation b8495b82-7013-4844-852c-4be617f742e9 · outbound

This paper cites ClimaX: A foundation model for weather and climate.

Scalable and Trustworthy Earth Observation Foundation Models ClimaX: A foundation model for weather and climate

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.315391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:fb38b4913e84c131afd99b6b1de49e3b15e772d7d66bf5b434d93db2e10f5f92

Observation 59f32035-7cb0-470d-a316-e727a6484ff7 · outbound

This paper cites Prithvi WxC: Foundation Model for Weather and Climate.

Scalable and Trustworthy Earth Observation Foundation Models Prithvi WxC: Foundation Model for Weather and Climate

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.280814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:1daf659c515812b1e9af60b94ee1d028dd94f608546960230f2e16757ef61da0

Observation 968f8dc8-a95d-49c8-9269-2e8203adafd3 · outbound

This paper cites Nature , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Nature , volume =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.108957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:5af474039e40eab788b21afa4f84945ff42067dcbe177a6d809f2da50647996c

Observation 2ad33018-cc45-4786-811b-7857473e284a · outbound

This paper cites Geospatial Foundation Models to Enable Progress on Sustainable Development Goals.

Scalable and Trustworthy Earth Observation Foundation Models Geospatial Foundation Models to Enable Progress on Sustainable Development Goals

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.285597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:d4f465abf5851d354cf87e1a5698e57daacae32038358994980c2d387a8c6ab1

Observation 0e64b74b-cf18-47fa-98a2-537b48d616d6 · outbound

This paper cites Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications.

Scalable and Trustworthy Earth Observation Foundation Models Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.298129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:c1bf4c15f61b7eeeb562e353a9efec913082e067a0e0d70db4fcac0432d214ef

Observation 5ec4c0e7-b844-4c2c-887b-ae0e5c8beb00 · outbound

This paper cites GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing.

Scalable and Trustworthy Earth Observation Foundation Models GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.363102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:15e9361372bc3ef6016ffd7ef7ba2146c66ecd6a1643a0dc024d69869159e9d5

Observation 70ac4b5d-0719-4a6c-b25a-9e5eefe557af · outbound

This paper cites 2026 , archivePrefix =.

Scalable and Trustworthy Earth Observation Foundation Models 2026 , archivePrefix =

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-10T19:07:35.349999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:290f392ac7572e426844d5498998b81bd53a6a0efaab2c0016669015b1d0be60

Observation 40fa1d14-26a6-4356-9fca-bb161f4db445 · outbound

This paper cites HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data.

Scalable and Trustworthy Earth Observation Foundation Models HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.271038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:c63d2b4a6ecc1eb60ddee8dfefb73987f2f8786ecb3da63a9a8fc5f650661b28

Observation 81230bdd-6328-4221-9f56-53edaa62f3e2 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Scalable and Trustworthy Earth Observation Foundation Models Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T19:47:33.100230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:06b1d741d6b826ea2264c3dbe62316aa99ba23b2aeb03375ec60bf3812d4107c

Pith citing papers

No inbound Pith citation observations are available.